Targeted proteomic analysis of habitual coffee consumption
(2018) In Journal of Internal Medicine 283(2). p.200-211- Abstract
Background: Coffee drinking has been implicated in mortality and a variety of diseases but potential mechanisms underlying these associations are unclear. Large-scale systems epidemiological approaches may offer novel insights to mechanisms underlying associations of coffee with health. Objective: We performed an analysis of known and novel protein markers linked to cardiovascular disease and their association with habitual coffee intake in the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS, n = 816) and followed up top proteins in the Uppsala Longitudinal Study of Adult Men (ULSAM, n = 635) and EpiHealth (n = 2418). Methods: In PIVUS and ULSAM, coffee intake was measured by 7-day dietary records whilst a computer-based... (More)
Background: Coffee drinking has been implicated in mortality and a variety of diseases but potential mechanisms underlying these associations are unclear. Large-scale systems epidemiological approaches may offer novel insights to mechanisms underlying associations of coffee with health. Objective: We performed an analysis of known and novel protein markers linked to cardiovascular disease and their association with habitual coffee intake in the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS, n = 816) and followed up top proteins in the Uppsala Longitudinal Study of Adult Men (ULSAM, n = 635) and EpiHealth (n = 2418). Methods: In PIVUS and ULSAM, coffee intake was measured by 7-day dietary records whilst a computer-based food frequency questionnaire was used in EpiHealth. Levels of up to 80 proteins were assessed in plasma by a proximity extension assay. Results: Four protein–coffee associations adjusted for age, sex, smoking and BMI, met statistical significance in PIVUS (FDR < 5%, P < 2.31 × 10−3): leptin (LEP), chitinase-3-like protein 1 (CHI3L), tumour necrosis factor (TNF) receptor 6 and TNF-related apoptosis-inducing ligand. The inverse association between coffee intake and LEP replicated in ULSAM (β, −0.042 SD per cup of coffee, P = 0.028) and EpiHealth (β, −0.025 SD per time of coffee, P = 0.004). The negative coffee–CHI3L association replicated in EpiHealth (β, −0.07, P = 1.15 × 10−7), but not in ULSAM (β, −0.034, P = 0.16). Conclusions: The current study supports an inverse association between coffee intake and plasma LEP and CHI3L1 levels. The coffee–CHI3L1 association is novel and warrants further investigation given links between CHI3L1 and health conditions that are also potentially influenced by coffee.
(Less)
- author
- Cornelis, M. C. ; Gustafsson, S. ; Ärnlöv, J. ; Elmståhl, S. LU ; Söderberg, S. ; Sundström, J. ; Michaëlsson, K. ; Lind, L. and Ingelsson, E.
- organization
- publishing date
- 2018-02-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- biomarkers, coffee, epidemiology, population, proteomics
- in
- Journal of Internal Medicine
- volume
- 283
- issue
- 2
- pages
- 200 - 211
- publisher
- Wiley-Blackwell
- external identifiers
-
- pmid:29044854
- scopus:85040785705
- ISSN
- 0954-6820
- DOI
- 10.1111/joim.12703
- language
- English
- LU publication?
- yes
- id
- bdb8b428-da08-4155-99c6-8455493f3c06
- date added to LUP
- 2018-02-05 16:41:12
- date last changed
- 2024-04-01 00:47:02
@article{bdb8b428-da08-4155-99c6-8455493f3c06,
abstract = {{<p>Background: Coffee drinking has been implicated in mortality and a variety of diseases but potential mechanisms underlying these associations are unclear. Large-scale systems epidemiological approaches may offer novel insights to mechanisms underlying associations of coffee with health. Objective: We performed an analysis of known and novel protein markers linked to cardiovascular disease and their association with habitual coffee intake in the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS, n = 816) and followed up top proteins in the Uppsala Longitudinal Study of Adult Men (ULSAM, n = 635) and EpiHealth (n = 2418). Methods: In PIVUS and ULSAM, coffee intake was measured by 7-day dietary records whilst a computer-based food frequency questionnaire was used in EpiHealth. Levels of up to 80 proteins were assessed in plasma by a proximity extension assay. Results: Four protein–coffee associations adjusted for age, sex, smoking and BMI, met statistical significance in PIVUS (FDR < 5%, P < 2.31 × 10<sup>−3</sup>): leptin (LEP), chitinase-3-like protein 1 (CHI3L), tumour necrosis factor (TNF) receptor 6 and TNF-related apoptosis-inducing ligand. The inverse association between coffee intake and LEP replicated in ULSAM (β, −0.042 SD per cup of coffee, P = 0.028) and EpiHealth (β, −0.025 SD per time of coffee, P = 0.004). The negative coffee–CHI3L association replicated in EpiHealth (β, −0.07, P = 1.15 × 10<sup>−7</sup>), but not in ULSAM (β, −0.034, P = 0.16). Conclusions: The current study supports an inverse association between coffee intake and plasma LEP and CHI3L1 levels. The coffee–CHI3L1 association is novel and warrants further investigation given links between CHI3L1 and health conditions that are also potentially influenced by coffee.</p>}},
author = {{Cornelis, M. C. and Gustafsson, S. and Ärnlöv, J. and Elmståhl, S. and Söderberg, S. and Sundström, J. and Michaëlsson, K. and Lind, L. and Ingelsson, E.}},
issn = {{0954-6820}},
keywords = {{biomarkers; coffee; epidemiology; population; proteomics}},
language = {{eng}},
month = {{02}},
number = {{2}},
pages = {{200--211}},
publisher = {{Wiley-Blackwell}},
series = {{Journal of Internal Medicine}},
title = {{Targeted proteomic analysis of habitual coffee consumption}},
url = {{http://dx.doi.org/10.1111/joim.12703}},
doi = {{10.1111/joim.12703}},
volume = {{283}},
year = {{2018}},
}